| Project-MONAI/MONAI |
5,010 |
|
0 |
48 |
about 2 years ago |
77 |
October 12, 2023 |
268 |
apache-2.0 |
Python |
| AI Toolkit for Healthcare Imaging |
| pliang279/awesome-multimodal-ml |
4,999 |
|
0 |
0 |
over 2 years ago |
0 |
|
8 |
mit |
|
| Reading list for research topics in multimodal machine learning |
| torchgan/torchgan |
1,218 |
|
1 |
0 |
over 4 years ago |
7 |
October 18, 2021 |
20 |
mit |
Python |
| Research Framework for easy and efficient training of GANs based on Pytorch |
| sunlabuiuc/PyHealth |
825 |
|
0 |
0 |
about 2 years ago |
15 |
January 24, 2023 |
15 |
other |
Python |
| A Deep Learning Python Toolkit for Healthcare Applications. |
| WenjieDu/PyPOTS |
558 |
|
0 |
0 |
about 2 years ago |
20 |
November 30, 2023 |
14 |
bsd-3-clause |
Python |
| A Python toolbox/library for reality-centric machine learning/deep learning on partially-observed time series with PyTorch, including SOTA models supporting tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data. https://arxiv.org/abs/2305.18811 |
| re-search/DocProduct |
511 |
|
0 |
0 |
over 4 years ago |
1 |
June 06, 2019 |
22 |
mit |
Jupyter Notebook |
| Medical Q&A with Deep Language Models |
| microsoft/InnerEye-DeepLearning |
509 |
|
0 |
0 |
over 2 years ago |
0 |
|
89 |
mit |
Python |
| Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning |
| isaacmg/healthcare_ml |
426 |
|
0 |
0 |
about 3 years ago |
0 |
|
2 |
|
|
| A curated list of ML|NLP resources for healthcare. |
| pliang279/MultiBench |
356 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
mit |
HTML |
| [NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning |
| vanderschaarlab/mlforhealthlabpub |
321 |
|
0 |
0 |
about 3 years ago |
8 |
March 01, 2023 |
5 |
other |
Python |
| Machine Learning and Artificial Intelligence for Medicine. |
